操作室管理中的人工智能
Valentina Bellini1, Michele Russo1, Tania Domenichetti1
1Anesthesiology, Intensive Care and Pain Medicine Division, Department of Medicine and Surgery, University of Parma, Parma, 43126, Italy.
Journal of medical systems
|February 14, 2024
概括
人工智能 (AI) 和机器学习通过预测手术时间和优化资源,显著改善了手术室管理. 持续的AI创新提高了医疗保健效率和患者的结果.
科学领域:
- 在外科手术期间的医学.
- 医疗信息学 医疗信息学
- 人工智能的人工智能
背景情况:
- 操作室管理在效率和资源分配方面面临挑战.
- 人工智能 (AI) 为复杂的医疗保健操作提供了潜在的解决方案.
研究的目的:
- 系统地审查人工智能的最新应用,特别是机器学习 (ML),在手术室管理中.
- 分析AI对预测手术持续时间,优化资源配置和检测取消的影响.
主要方法:
- 对2019年2月至2023年9月期间发表的22项研究进行了系统审查.
- 分析重点是ML算法的应用和有效性 (例如XGBoost,随机森林,神经网络).
主要成果:
- 人工智能和机器学习可以有效地预测外科病例的持续时间,提高准确性.
- 在麻醉后护理单位观察到优化资源配置.
- 人工智能在检测外科病例取消方面表现出能力,增强了操作预见.
结论:
- 将人工智能集成到手术室管理中显示出了提高效率和患者治疗结果的重大前景.
- 解决数据访问和隐私问题对于更广泛的人工智能采用至关重要.
- 需要继续进行研究和创新,才能充分发挥人工智能在外科手术期间医学的潜力.
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